Classification Systems

For classification of unseen cases system LERS uses a modified
bucket brigade algorithm . The decision to which class a case
belongs is made on the basis of three parameters: specificity, strength,
and support. They are defined as follows: Specificity is the total
number of conditions of the rule, strength is the total number of cases
correctly classified by the rule during training, and support is the sum
of all products of specificity and strength for all matching rules from
the class. For any case, the class with the largest value of support
determines the case membership.

The first LERS classification system was implemented, among others, by
Andi Yan. Independently, the classification system was re - implemented
by Chien - Pei B. Wang, who also tested different possible classification
strategies. Yet another research on classification strategies, taking
into account different ways of using certain and possible rules, was
performed by Xihong Zou.